<template>
    <div>
        <el-col :span="12"><div id="proMap"></div></el-col>
        <el-col :span="8">
            <el-table :data="cityList" style="width: 100%;margin-top:45px;" :default-sort = "{prop: 'counts', order: 'descending'}" >
                <el-table-column prop="province" label="省份"  width="180">
                </el-table-column>
                <el-table-column prop="counts" label="客户数" sortable width="180"></el-table-column>
                <el-table-column prop="ince" label=" " :formatter="formatter"> </el-table-column>
            </el-table>
        </el-col>
    </div>
    
</template>
<style lang="scss" scoped>
    #proMap{
      width: 700px;
      height: 405px;
      float: left;
    }
    
</style>

<script>
    import { Row, Col, Table} from 'element-ui'
    // 引入 ECharts 主模块
    const echarts = require('echarts/lib/echarts');
    // 引入提示框和标题组件
    require('echarts/lib/component/tooltip');
    require('echarts/lib/component/title');
    //  引入全国地图
    require('echarts/map/js/china');
    require('echarts/lib/component/visualMap');
    require('echarts/lib/component/geo');
    import { mapGetters } from 'vuex'
    import * as App from '@/utils/index'
    import { regInit } from '@/api/database/cusAna'


    export default {
        
        data () {
            return {
                proMap:'',
                cityList: {
                    province:null,
                    counts:null,
                    ince:null
                },
                cityList:[],//省份
                
            }
        },
        created () {
            this.init()
        },
        methods: {
            /**
             * 初始化
             */
            init(){
            //console.log( this.$router,this.$route)
                this.fetchList()
            },
            /**
             * 区域分析
             */
            fetchList(){
                regInit(this.cityList).then(response => {
                    let _data = response
                    
                    this.cityList = _data.data
                    console.log('cityList哈哈哈哈哈哈哈:',_data.data)
                    
                }).catch(error => {
                    console.error('fetchList-error:', error)
                })
            },
            formatter(row, column) {
                return row.address;
            },
            initproMap(){
                this.proMap = echarts.init(document.getElementById('proMap'));
                    var data = [
                    {name: '海门', value: 9},
                    {name: '鄂尔多斯', value: 12},
                    {name: '招远', value: 12},
                    {name: '舟山', value: 12},
                    {name: '齐齐哈尔', value: 14},
                    {name: '盐城', value: 15},
                    {name: '赤峰', value: 16},
                    {name: '青岛', value: 18},
                    {name: '乳山', value: 18},
                    {name: '金昌', value: 19},
                    {name: '泉州', value: 21},
                    {name: '南通', value: 23},
                    {name: '拉萨', value: 24},
                    {name: '云浮', value: 24},
                    {name: '上海', value: 25},
                    {name: '攀枝花', value: 25},
                    {name: '承德', value: 25},
                    {name: '汕尾', value: 26},
                    {name: '丹东', value: 27},
                    {name: '瓦房店', value: 30},
                    {name: '延安', value: 38},
                    {name: '咸阳', value: 43},
                    {name: '南昌', value: 54},
                    {name: '柳州', value: 54},
                    {name: '三亚', value: 54},
                    {name: '泸州', value: 57},
                    {name: '克拉玛依', value: 72}
                ];

                var geoCoordMap = {
                    '海门':[121.15,31.89],
                    '鄂尔多斯':[109.781327,39.608266],
                    '招远':[120.38,37.35],
                    '舟山':[122.207216,29.985295],
                    '齐齐哈尔':[123.97,47.33],
                    '盐城':[120.13,33.38],
                    '赤峰':[118.87,42.28],
                    '青岛':[120.33,36.07],
                    '乳山':[121.52,36.89],
                    '金昌':[102.188043,38.520089],
                    '泉州':[118.58,24.93],
                    '莱西':[120.53,36.86],
                    '日照':[119.46,35.42],
                    '胶南':[119.97,35.88],
                    '南通':[121.05,32.08],
                    '拉萨':[91.11,29.97],
                    '云浮':[112.02,22.93],
                    '梅州':[116.1,24.55],
                    '文登':[122.05,37.2],
                    '上海':[121.48,31.22],
                    '攀枝花':[101.718637,26.582347],
                    '威海':[122.1,37.5],
                    '承德':[117.93,40.97],
                    '厦门':[118.1,24.46],
                    '汕尾':[115.375279,22.786211],
                    '潮州':[116.63,23.68],
                    '丹东':[124.37,40.13],
                    '太仓':[121.1,31.45],
                    '曲靖':[103.79,25.51],
                    '烟台':[121.39,37.52],
                    '福州':[119.3,26.08],
                    '瓦房店':[121.979603,39.627114],
                    '即墨':[120.45,36.38],
                    '抚顺':[123.97,41.97],
                    '玉溪':[102.52,24.35],
                    '张家口':[114.87,40.82],
                    '阳泉':[113.57,37.85],
                    '莱州':[119.942327,37.177017],
                    '湖州':[120.1,30.86],
                    '汕头':[116.69,23.39],
                    '昆山':[120.95,31.39],
                    '宁波':[121.56,29.86],
                    '湛江':[110.359377,21.270708],
                    '揭阳':[116.35,23.55],
                    '荣成':[122.41,37.16],
                    '连云港':[119.16,34.59],
                    '葫芦岛':[120.836932,40.711052],
                    '常熟':[120.74,31.64],
                    '东莞':[113.75,23.04],
                    '河源':[114.68,23.73],
                    '淮安':[119.15,33.5],
                    '泰州':[119.9,32.49],
                    '南宁':[108.33,22.84],
                    '营口':[122.18,40.65],
                    '惠州':[114.4,23.09],
                    '江阴':[120.26,31.91],
                    '蓬莱':[120.75,37.8],
                    '韶关':[113.62,24.84],
                    '嘉峪关':[98.289152,39.77313],
                    '广州':[113.23,23.16],
                    '延安':[109.47,36.6],
                    '太原':[112.53,37.87],
                    '清远':[113.01,23.7],
                    '中山':[113.38,22.52],
                    '昆明':[102.73,25.04],
                    '寿光':[118.73,36.86],
                    '盘锦':[122.070714,41.119997],
                    '长治':[113.08,36.18],
                    '深圳':[114.07,22.62],
                    '珠海':[113.52,22.3],
                    '宿迁':[118.3,33.96],
                    '咸阳':[108.72,34.36],
                    '铜川':[109.11,35.09],
                    '平度':[119.97,36.77],
                    '佛山':[113.11,23.05],
                    '海口':[110.35,20.02],
                    '江门':[113.06,22.61],
                    '章丘':[117.53,36.72],
                    '肇庆':[112.44,23.05],
                    '大连':[121.62,38.92],
                    '临汾':[111.5,36.08],
                    '吴江':[120.63,31.16],
                    '石嘴山':[106.39,39.04],
                    '沈阳':[123.38,41.8],
                    '苏州':[120.62,31.32],
                    '茂名':[110.88,21.68],
                    '嘉兴':[120.76,30.77],
                    '长春':[125.35,43.88],
                    '胶州':[120.03336,36.264622],
                    '银川':[106.27,38.47],
                    '张家港':[120.555821,31.875428],
                    '三门峡':[111.19,34.76],
                    '锦州':[121.15,41.13],
                    '南昌':[115.89,28.68],
                    '柳州':[109.4,24.33],
                    '三亚':[109.511909,18.252847],
                    '自贡':[104.778442,29.33903],
                    '吉林':[126.57,43.87],
                    '阳江':[111.95,21.85],
                    '泸州':[105.39,28.91],
                    '西宁':[101.74,36.56],
                    '宜宾':[104.56,29.77],
                    '呼和浩特':[111.65,40.82],
                    '成都':[104.06,30.67],
                    '大同':[113.3,40.12],
                    '镇江':[119.44,32.2],
                    '桂林':[110.28,25.29],
                    '张家界':[110.479191,29.117096],
                    '宜兴':[119.82,31.36],
                    '北海':[109.12,21.49],
                    '西安':[108.95,34.27],
                    '金坛':[119.56,31.74],
                    '东营':[118.49,37.46],
                    '牡丹江':[129.58,44.6],
                    '遵义':[106.9,27.7],
                    '绍兴':[120.58,30.01],
                    '扬州':[119.42,32.39],
                    '常州':[119.95,31.79],
                    '潍坊':[119.1,36.62],
                    '重庆':[106.54,29.59],
                    '台州':[121.420757,28.656386],
                    '南京':[118.78,32.04],
                    '滨州':[118.03,37.36],
                    '贵阳':[106.71,26.57],
                    '无锡':[120.29,31.59],
                    '本溪':[123.73,41.3],
                    '克拉玛依':[84.77,45.59],
                    '渭南':[109.5,34.52],
                    '马鞍山':[118.48,31.56],
                    '宝鸡':[107.15,34.38],
                    '焦作':[113.21,35.24],
                    '句容':[119.16,31.95],
                    '北京':[116.46,39.92],
                    '徐州':[117.2,34.26],
                    '衡水':[115.72,37.72],
                    '包头':[110,40.58],
                    '绵阳':[104.73,31.48],
                    '乌鲁木齐':[87.68,43.77],
                    '枣庄':[117.57,34.86],
                    '杭州':[120.19,30.26],
                    '淄博':[118.05,36.78],
                    '鞍山':[122.85,41.12],
                    '溧阳':[119.48,31.43],
                    '库尔勒':[86.06,41.68],
                    '安阳':[114.35,36.1],
                    '开封':[114.35,34.79],
                    '济南':[117,36.65],
                    '德阳':[104.37,31.13],
                    '温州':[120.65,28.01],
                    '九江':[115.97,29.71],
                    '邯郸':[114.47,36.6],
                    '临安':[119.72,30.23],
                    '兰州':[103.73,36.03],
                    '沧州':[116.83,38.33],
                    '临沂':[118.35,35.05],
                    '南充':[106.110698,30.837793],
                    '天津':[117.2,39.13],
                    '富阳':[119.95,30.07],
                    '泰安':[117.13,36.18],
                    '诸暨':[120.23,29.71],
                    '郑州':[113.65,34.76],
                    '哈尔滨':[126.63,45.75],
                    '聊城':[115.97,36.45],
                    '芜湖':[118.38,31.33],
                    '唐山':[118.02,39.63],
                    '平顶山':[113.29,33.75],
                    '邢台':[114.48,37.05],
                    '德州':[116.29,37.45],
                    '济宁':[116.59,35.38],
                    '荆州':[112.239741,30.335165],
                    '宜昌':[111.3,30.7],
                    '义乌':[120.06,29.32],
                    '丽水':[119.92,28.45],
                    '洛阳':[112.44,34.7],
                    '秦皇岛':[119.57,39.95],
                    '株洲':[113.16,27.83],
                    '石家庄':[114.48,38.03],
                    '莱芜':[117.67,36.19],
                    '常德':[111.69,29.05],
                    '保定':[115.48,38.85],
                    '湘潭':[112.91,27.87],
                    '金华':[119.64,29.12],
                    '岳阳':[113.09,29.37],
                    '长沙':[113,28.21],
                    '衢州':[118.88,28.97],
                    '廊坊':[116.7,39.53],
                    '菏泽':[115.480656,35.23375],
                    '合肥':[117.27,31.86],
                    '武汉':[114.31,30.52],
                    '大庆':[125.03,46.58]
                };

                function convertData(data) {
                    var res = [];
                    for (var i = 0; i < data.length; i++) {
                        var geoCoord = geoCoordMap[data[i].name];
                        if (geoCoord) {
                            res.push({
                                name: data[i].name,
                                value: geoCoord.concat(data[i].value)
                            });
                        }
                    }
                    return res;
                };

                function randomValue() {
                    return Math.round(Math.random()*1000);
                };

                this.proMap.setOption({
                    // 第二种样式一种单独颜色
                    //  tooltip: {
                    //     // show: false //不显示提示标签
                    //       formatter: '{b}', //提示标签格式
                    //       backgroundColor:"#3d9738",//提示标签背景颜色
                    //       textStyle:{color:"#fff"}, //提示标签字体颜色
                    //   },
                    //  series: [{
                    //       type: 'map',
                    //       map: 'china',
                    //       itemStyle: {
                    //         normal: {
                    //             areaColor: "#c5e6bd",
                    //             borderColor: "#444444",
                    //             borderWidth: "0.1"
                    //         },
                    //         emphasis: {
                    //             areaColor: "#a3d89c",
                    //             borderColor: "#444444",
                    //             borderWidth: "0.1"
                    //         }
                    //     },
                    //     label: {
                    //         normal: {
                    //             show: false,//显示省份标签
                    //             textStyle: {
                    //                 color: "#888888"
                    //             }
                    //         },
                    //         emphasis: {
                    //             show: true,
                    //             textStyle: {
                    //                 color: "#000000"
                    //             }
                    //         }
                    //     },
                    //     data:[
                    //           {name:'广东', selected:true}//深圳为选中状态
                    //       ],
                        
                    //   }]
                    tooltip: {},
                    visualMap: {
                        min: 0,
                        max: 1500,
                        show: true,
                        orient: 'horizontal',//横向显示，如果要竖着来去掉即可
                        left: 'center',
                        top: 'bottom',
                        text: ['High','Low'],
                        seriesIndex: [1],
                        /*颜色幅度修改*/
                        inRange: {
                            color: ['#76c56f', '#a3d89c','#e1f1d8','#e1f1d8']
                        },
                        calculable : true
                    },
                    geo: {
                        map: 'china',
                        //禁止缩放
                        roam: false,
                        label: {
                            normal: {
                                /*地图是否显示字*/
                                show: false,
                                textStyle: {
                                    color: 'rgba(0,0,0,0.4)'
                                }
                            }
                        },
                        itemStyle: {
                            
                            normal:{
                                borderColor: 'rgba(0, 0, 0, 0.2)'
                            },
                            emphasis:{
                                //鼠标悬停的样式
                                areaColor:'#53b463',
                                shadowOffsetX: 0,
                                shadowOffsetY: 0,
                                shadowBlur: 20,
                                borderWidth: 0,
                                shadowColor: 'rgba(0, 0, 0, 0.2)'
                            }
                        }
                    },
                    series : [
                        {
                            type: 'scatter',
                            coordinateSystem: 'geo',
                            data: convertData(data),
                            symbolSize: 20,
                            symbol: 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z',
                            symbolRotate: 35,
                            label: {
                                normal: {
                                    formatter: '{b}',
                                    position: 'right',
                                    show: false
                                },
                                emphasis: {
                                    show: true
                                }
                            },
                             data:[
                                {name:'广东', selected:true}//广东为选中状态
                            ],
                            itemStyle: {
                                /*小飞机颜色修改*/
                                normal: {
                                    color: 'rgba(0, 0, 0, 0)',
                                }
                            }
                        },
                       
                        {
                            /*悬停文本*/
                                name: '数量',
                            type: 'map',
                            geoIndex: 0,
                            // tooltip: {show: false},
                            data:[
                                {name: '北京', value: randomValue()},
                                {name: '天津', value: randomValue()},
                                {name: '上海', value: randomValue()},
                                {name: '重庆', value: randomValue()},
                                {name: '河北', value: randomValue()},
                                {name: '河南', value: randomValue()},
                                {name: '云南', value: randomValue()},
                                {name: '辽宁', value: randomValue()},
                                {name: '黑龙江', value: randomValue()},
                                {name: '湖南', value: randomValue()},
                                {name: '安徽', value: randomValue()},
                                {name: '山东', value: randomValue()},
                                {name: '新疆', value: randomValue()},
                                {name: '江苏', value: randomValue()},
                                {name: '浙江', value: randomValue()},
                                {name: '江西', value: randomValue()},
                                {name: '湖北', value: randomValue()},
                                {name: '广西', value: randomValue()},
                                {name: '甘肃', value: randomValue()},
                                {name: '山西', value: randomValue()},
                                {name: '内蒙古', value: randomValue()},
                                {name: '陕西', value: randomValue()},
                                {name: '吉林', value: randomValue()},
                                {name: '福建', value: randomValue()},
                                {name: '贵州', value: randomValue()},
                                {name: '广东', value: randomValue()},
                                {name: '青海', value: randomValue()},
                                {name: '西藏', value: randomValue()},
                                {name: '四川', value: randomValue()},
                                {name: '宁夏', value: randomValue()},
                                {name: '海南', value: randomValue()},
                                {name: '台湾', value: randomValue()},
                                {name: '香港', value: randomValue()},
                                {name: '澳门', value: randomValue()}
                            ]
                        }
                    ]
                })
            },
            formatter(row, column) {
                var pre = row.counts;//宽度
                
                row.ince = <span style="display:inline-block;height:15px;background:red;"></span>;

                return row.ince 
            }
            //    tableData: [{
            //         city: '广东',
            //         count: '5',
            //         address: <span style="display:inline-block;width:10px;height:15px;background:red;"></span>
            //         }, {
            //         city: '河南',
            //         count: '1',
            //         address: <span style="display:inline-block;width:9px;height:15px;background:red;"></span>
            //         }, {
            //         city: '上海',
            //         count: '8',
            //         address: <span style="display:inline-block;width:5px;height:15px;background:red;"></span>
            //         }, {
            //         city: '海南',
            //         count: '9',
            //         address: <span style="display:inline-block;width:5px;height:15px;background:red;"></span>
            //     }],
    },
        mounted() {
            this.$nextTick(function () {
                this.initproMap();
            })
        }
    }
</script>

